Abstract：The medical image registration method based on mutual information similarity measure and Powell optimization algorithm
is slow and easy to fall into local minima. To solve these problems, the calculations of joint histogram and the formulas of normalized
mutual information were improved. The improved method simplified the calculation process and the similarity measure could reflect
the registration degree more accurately. Moreover, to solve the problem of excessive relying on initial point in Powell optimization
algorithm, an improved algorithm was designed to obtain the initial registration parameters, which could avoid the local extremum
and reduce the number of iterations. Experimental results show that the improved method for medical image registration can achieve
sub-pixel accuracy, increase arithmetic speed obviously and is more stable than ordinary Powell algorithm.
邢正伟，李海瑛. 改进的Powell医学图像配准算法的应用[J]. 中国医疗设备, 2018, 33(9): 65-70.
XING Zhengwei, LI Haiying. Applications of an Improved Method of Powell Algorithm in Medical Image Registration. China Medical Devices, 2018, 33(9): 65-70.
